How is this calculated?
The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.
// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 9 [Charles Guard] *
225 [Elizabeth Banks] *
25 [Dorothy Stickney] *
49 [Don S. Davis] *
49 [David Strathairn] *
400 [The Uninvited] *
1 [Alf Humphreys] *
4 [Arielle Kebbel] *
1 [C.A. Fraser Bain] *
1 [Daniel Bristol] *
1 [Dean Paul Gibson] *
16 [Emily Browning] *
16 [Heather Doerksen] *
4 [Jesse Moss] *
1 [John Prowse] *
36 [Kevin McNulty] *
1 [Lex Burnham] *
1 [Matthew Bristol] *
16 [Maya Massar] *
1 [Ryan Cowie]
)
= 1.15 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Charles Guard] *
1 [Elizabeth Banks] *
1 [Dorothy Stickney] *
1 [Don S. Davis] *
1 [David Strathairn] *
1 [The Uninvited] *
1 [Alf Humphreys] *
1 [Arielle Kebbel] *
1 [C.A. Fraser Bain] *
1 [Daniel Bristol] *
1 [Dean Paul Gibson] *
1 [Emily Browning] *
1 [Heather Doerksen] *
1 [Jesse Moss] *
1 [John Prowse] *
1 [Kevin McNulty] *
1 [Lex Burnham] *
1 [Matthew Bristol] *
1 [Maya Massar] *
1 [Ryan Cowie]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.12%
(1.15 × 1017 overall)
Dominant nodes (excluded from chart)The Uninvited 46.62%Elizabeth Banks 26.22%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)